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COVID-19 was first discovered in December 2019 and has continued to rapidlyspread across countries worldwide infecting thousands and millions of people.The virus is deadly, and people who are suffering from prior illnesses or areolder than the age of 60 are at a higher risk of mortality. Medicine andHealthcare industries have surged towards finding a cure, and differentpolicies have been amended to mitigate the spread of the virus. While MachineLearning (ML) methods have been widely used in other domains, there is now ahigh demand for ML-aided diagnosis systems for screening, tracking, andpredicting the spread of COVID-19 and finding a cure against it. In this paper,we present a journey of what role ML has played so far in combating the virus,mainly looking at it from a screening, forecasting, and vaccine perspectives.We present a comprehensive survey of the ML algorithms and models that can beused on this expedition and aid with battling the virus.

Machine Learning Research Towards Combating COVID-19: Virus Detection, Spread Prevention, and Medical Assistance